Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Table of Contents

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   Book Overview
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   Chapter 1 PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model
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   Chapter 2 MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking
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   Chapter 3 UOD: Universal One-Shot Detection of Anatomical Landmarks
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   Chapter 4 S $$^2$$ 2 ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation
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   Chapter 5 Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI
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   Chapter 6 Anatomy-Driven Pathology Detection on Chest X-rays
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   Chapter 7 VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
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   Chapter 8 Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction
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    Chapter 9 Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
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    Chapter 10 Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
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    Chapter 11 TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation
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    Chapter 12 Additional Positive Enables Better Representation Learning for Medical Images
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    Chapter 13 Multi-modal Semi-supervised Evidential Recycle Framework for Alzheimer’s Disease Classification
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    Chapter 14 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images
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    Chapter 15 Automatic Retrieval of Corresponding US Views in Longitudinal Examinations
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    Chapter 16 Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks
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    Chapter 17 AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
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    Chapter 18 Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation
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    Chapter 19 AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
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    Chapter 20 Gall Bladder Cancer Detection from US Images with only Image Level Labels
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    Chapter 21 Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos
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    Chapter 22 Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification
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    Chapter 23 Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive Learning
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    Chapter 24 DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs
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    Chapter 25 SLPD: Slide-Level Prototypical Distillation for WSIs
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    Chapter 26 PET Image Denoising with Score-Based Diffusion Probabilistic Models
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    Chapter 27 LSOR: Longitudinally-Consistent Self-Organized Representation Learning
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    Chapter 28 Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
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    Chapter 29 Geometry-Invariant Abnormality Detection
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    Chapter 30 Modeling Alzheimers’ Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
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    Chapter 31 Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
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    Chapter 32 Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training
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    Chapter 33 Multi-IMU with Online Self-consistency for Freehand 3D Ultrasound Reconstruction
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    Chapter 34 Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition
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    Chapter 35 You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray
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    Chapter 36 Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering
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    Chapter 37 CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions
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    Chapter 38 An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway
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    Chapter 39 Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training
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    Chapter 40 A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding
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    Chapter 41 Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities
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    Chapter 42 LOTUS: Learning to Optimize Task-Based US Representations
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    Chapter 43 Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models
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    Chapter 44 Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction
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    Chapter 45 Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography
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    Chapter 46 Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration
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    Chapter 47 Can Point Cloud Networks Learn Statistical Shape Models of Anatomies?
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    Chapter 48 CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance Image
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    Chapter 49 Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
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    Chapter 50 MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images
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    Chapter 51 PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation
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    Chapter 52 Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
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    Chapter 53 Decoupled Consistency for Semi-supervised Medical Image Segmentation
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    Chapter 54 Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning
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    Chapter 55 Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision
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    Chapter 56 Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy
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    Chapter 57 Structured State Space Models for Multiple Instance Learning in Digital Pathology
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    Chapter 58 vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images
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    Chapter 59 Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
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    Chapter 60 Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification
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    Chapter 61 M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
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    Chapter 62 Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance
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    Chapter 63 Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images
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    Chapter 64 Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
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    Chapter 65 Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
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    Chapter 66 Unsupervised Domain Adaptation for Anatomical Landmark Detection
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    Chapter 67 MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
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    Chapter 68 Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation
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    Chapter 69 Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
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    Chapter 70 Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos
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    Chapter 71 Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation
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    Chapter 72 MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
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    Chapter 73 Unsupervised Domain Transfer with Conditional Invertible Neural Networks